"A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATE" by Nisreen Hanoon Radhi

Date of Award

Winter 2016

Project Type

Thesis

Program or Major

Electrical and Computer Engineering

Degree Name

Master of Science

First Advisor

Nisreen H Radhi

Second Advisor

Richard A Messner

Third Advisor

John R LaCourse

Abstract

The human visual system has been an interesting topic of scientific research for decades. It is known that the cone photo-receptors are arrayed in a non-linear fashion and that a lateral subtractive inhibitory process is occurring in the visual pathway. This thesis outlines for the first time how lateral subtractive inhibition manifests itself in the context of a non-uniform sensor distribution where the distance between cone photo-receptors, and size of the receptors, are varying in a log manner when moving radially away from the foveal area. Range limits on the parameters that control the non-uniform sampling and coupling coefficients are presented and optimal values are identified for specific image resolutions. The results of this analysis are then coupled to a proposed model of spatial frequency filtering to assist in subsequent studies of feature extraction and pattern analysis. The filters generated are based on three spatial-frequency channels that are designed to model the human eye contrast sensitivity curve. Simulated results are presented.

Share

COinS